Healthcare Diagnostics using Deep Learning Techniques
AIAR is collaborating with Amrita University in applying advanced deep learning techniques to improve clinical diagnostics:
- Pancreatic Cancer Diagnostics: Developing a computer-aided system to support early detection and treatment planning, helping clinicians identify subtle patterns that may be missed by traditional methods.
- VR-Enabled Heart Segmentation: Creating an immersive virtual reality system that allows surgeons to explore patient-specific heart structures, improving preparation for complex cardiac procedures.
These tools aim to enhance accuracy, reduce risk, and expand access to high-quality care.
Conservation of Ayurvedic Herbs through Micropropagation
Many Ayurvedic plants, such as Brahmi (Bacopa monnieri), valued for their phytopharmaceutical properties are increasingly threatened by habitat loss, overharvesting, and poor seed viability.
This project investigates how micropropagation can address these challenges by enabling:
- Rapid clonal multiplication through controlled in-vitro culture systems that reduce pressure on wild populations
- Standardized micropropagation protocols using leaf explants, axillary buds, or nodal segments to achieve reliable mass propagation
- Somatic embryogenesis and shoot-induction workflows that support large scale, genetically uniform cultivation
By integrating micropropagation techniques with conservation-focused biological research, the project aims to strengthen sustainable supply chains for medicinal plants, enhance ex situ preservation efforts, and contribute to long-term biodiversity protection.
Agentic AI for Ayurveda Analytics
This project aims to build an AI-powered research assistant for Ayurveda medicine analytics. The system will:
- Enable scientists to query in natural language
- Autonomously perform complex statistical analyses
- Interpret results and present them in clear, accessible formats
- Accelerate evidence-based discovery in Ayurveda
By leveraging AI to formulate statistical results, generate visualizations, and infer clinical findings within an Ayurvedic context, this system empowers scientists to focus on innovation rather than analytics.
Pathways to Progress: Open Academy for AI and Digital Literacy
This initiative seeks to democratize AI education and bridge the digital divide by launching an AI-powered digital literacy program for under-resourced youth. Through partnerships with community leaders, educators, and employers, the program aims to:
- Inspire youth toward lifelong learning
- Equip them with future ready digital and AI skills
- Expand access to 21st-century career pathways
The research agenda includes evaluating program effectiveness, understanding barriers to digital inclusion, and exploring how AI-driven learning tools can open new frontiers of opportunity for underserved communities.